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Modeling, Dynamics, Optimization and Bioeconomics I pp 469–485Cite as

Modern Applied Mathematics for Alternative Modeling of the Atmospheric Effects on Satellite Images

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Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 73))

Abstract

Nonparametric regression and classification techniques are mostly the key data mining tools in explaining real life problems and natural phenomena where many effects often exhibit nonlinear behavior. The remotely sensed earth data collected by earth-observing satellites is degraded due to the absorption and scattering of solar radiation by atmospheric gases and aerosols. In order to use these data for information extraction, they must first be corrected for the atmospheric effects. Recent methods based on radiative transfer modelling still have many challenges including achieving high accuracy and developing real-time processing capability of large numbers of satellite images acquired with high temporal resolution and Large Field of View instruments. In this chapter, two state-of-the-art nonparametric tools, Multivariate Adaptive Regression Splines (MARS) and its successor Conic Multivariate Adaptive Regression Splines (CMARS), are reviewed within the frame of an earth science example. Both methods are utilized for the atmospheric correction of five sets of MODIS images taken over European Alps. The Simplified Method for Atmospheric Correction (SMAC), a simplified version of 6S radiative transfer model, is also applied on the image data sets for the removal of atmospheric effects. The performance of the models was evaluated by comparing their results with the MODIS atmospherically corrected surface reflectance product in terms of RMSE. Although MARS and CMARS approaches produce similar results on the data sets, they both outperform SMAC.

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Authors and Affiliations

  1. Faculty of Forestry, Department of Forest Engineering, Çankırı Karatekin University, 18200, Çankırı, Turkey

    Semih Kuter

  2. Institute of Applied Mathematics, Middle East Technical University, 06800, Ankara, Turkey

    Gerhard Wilhelm Weber & Ayşe Özmen

  3. Faculty of Engineering, Department of Civil Engineering, Middle East Technical University, 06800, Ankara, Turkey

    Zuhal Akyürek

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  1. Semih Kuter
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  2. Gerhard Wilhelm Weber
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  4. Zuhal Akyürek
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Correspondence to Semih Kuter .

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  1. University of Porto, Department of Mathematics, Porto, Portugal

    Alberto Adrego Pinto

  2. Univ. of California, Dept. of Agricultural and Resource Economics, Berkeley, California, USA

    David Zilberman

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Kuter, S., Weber, G.W., Özmen, A., Akyürek, Z. (2014). Modern Applied Mathematics for Alternative Modeling of the Atmospheric Effects on Satellite Images. In: Pinto, A., Zilberman, D. (eds) Modeling, Dynamics, Optimization and Bioeconomics I. Springer Proceedings in Mathematics & Statistics, vol 73. Springer, Cham. https://doi.org/10.1007/978-3-319-04849-9_27

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